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Anduril Industries

engineering opportunity

Data Platform Engineer, Air Dominance & Strike

You will develop test data infrastructure and build fleet management systems to monitor aircraft performance in the field. Additionally, you will collaborate with production teams to design tools that scale manufacturing processes from small batches to large-scale production.

Costa Mesa, California, United StatesonsiteFULL_TIME

Posted

About the role

What will you do at Anduril Industries?

Anduril Industries is a defense technology company with a mission to transform

U.S. and allied military capabilities with advanced technology. By bringing the

expertise, technology, and business model of the 21st century’s most innovative

companies to the defense industry, Anduril is changing how military systems are

designed, built and sold. Anduril’s family of systems is powered by Lattice OS,

an AI-powered operating system that turns thousands of data streams into a

realtime, 3D command and control center. As the world enters an era of strategic

competition, Anduril is committed to bringing cutting-edge autonomy, AI,

computer vision, sensor fusion, and networking technology to the military in

months, not years.

ABOUT THE TEAM

The goal of Anduril’s Air Dominance and Strike Division is to fundamentally

reshape the way future peer to peer conflicts are fought by developing next

generation Collaborative Combat Aircraft (Fury [https://www.anduril.com/fury]),

missiles such as RoadRunner [https://www.anduril.com/roadrunner/] and Barracuda

[https://www.anduril.com/barracuda/], and the Mission Autonomy

[https://www.anduril.com/lattice/mission-autonomy] software that is the brain of

these products.

We’re in a race to build these products at scale. We need resilience in our

supply chain, accelerate our ramp to production, iterate on design and quality

through our test program, and ensure we’re maximizing operational effectiveness

in the field. The operations that support and accelerate the product. The AD&S

Operations team is a small but mighty team of business builder-operators who

enable the division to scale through hyper-growth while breaking as few things

as possible.

ABOUT THE ROLE

We are seeking a Senior Data Platform Engineer to design, build, and operate the

foundational data infrastructure that powers the Air Dominance & Strike

division.

In this role, you will

  • be the architect of a scalable, reliable, and
  • easy-to-use platform that enables analytics engineers, data scientists, software
  • engineers, flight test engineers, and field operators to build high-impact
  • analyses and data-driven applications across the product lifecycle — from design
  • and manufacturing through flight test and field operations.
  • You will combine deep expertise in data pipelines, cloud infrastructure, DevOps,
  • and modern data systems to create a cohesive ecosystem that serves test data
  • infrastructure, fleet management, production analytics, and more. Applying Site
  • Reliability Engineering (SRE) principles will be key to ensuring the performance
  • and availability of these critical systems, which operate in both commercial
  • cloud and classified environments. You will collaborate closely with platform
  • users — embedding with engineers to understand their workflows and remove
  • friction — ensuring our data capabilities are a force multiplier for the entire
  • division. Your ability to deploy and maintain these mission-critical solutions
  • will be essential, with occasional travel required for real-world implementation
  • and support.
  • WHAT YOU’LL DO
  • * Lead the design, development, and maintenance of a scalable, self-service
  • data platform that serves as the foundation for analytics and data
  • applications across the organization
  • * Architect and manage the underlying cloud infrastructure using
  • Infrastructure-as-Code (Terraform), containerization (Docker, Kubernetes),
  • and CI/CD best practices to support the data platform
  • * Design and implement solutions for multi-server data access in disconnected
  • and intermittently-connected environments, including conflict resolution and
  • merging on reconnect
  • * Build robust ETL/ELT pipelines in Python (e.g., Polars) leveraging modern
  • DAG-based orchestrators and parallelization techniques to process data
  • * Implement agentic data processing workflows with strong guardrails,
  • validation, and human-in-the-loop controls to ensure safe and reliable
  • automation
  • * Build ML-ready feature sets and deploy validated models into production in
  • environments where data quality and integrity are paramount
  • * Partner with and empower platform users — including analytics engineers, data
  • scientists, and software engineers — by providing robust tooling, clear
  • documentation, and a seamless developer experience
  • * Apply SRE principles to ensure the data platform is highly available,
  • performant, and observable — establishing SLOs, automating operational tasks,
  • and leading incident response
  • * Evolve the platform's architecture by evaluating and integrating new
  • technologies from the modern data stack to meet the ever-changing needs of
  • the business
  • WHO YOU ARE
  • * 2+ years of experience in a combination of data platform engineering, cloud
  • infrastructure, DevOps, or SRE roles
  • * Eligible to obtain and maintain an active U.S. Department of Defense (DOD)
  • Secret Clearance or higher, and comfort operating in air-gapped, classified,
  • and/or other highly constrained network environments
  • * Hands-on experience building and maintaining platforms with key components of
  • the modern data stack, such as data lakehouse technologies (e.g., Apache
  • Iceberg), query engines (e.g., Trino/Presto, AWS Athena), transformation
  • tools (e.g., dbt), and real-time stream & batch processing platforms (e.g.,
  • Apache Kafka, Apache Spark)
  • * Experience with Infrastructure-as-Code (IaC), particularly Terraform, for
  • managing complex cloud environments (e.g., AWS, Azure, GCP)
  • * Strong proficiency in DevOps and software deployment practices, including
  • containerization and orchestration (e.g., Docker, Kubernetes, Helm), GitOps &
  • CI/CD tooling (e.g., ArgoCD, CircleCI), and observability/monitoring/APM
  • platforms (e.g., Datadog, Grafana)
  • * Procedural fluency in writing, debugging, profiling, testing, and maintaining
  • performant Python and SQL code
  • * Experience with data pipeline orchestration tooling (e.g., Flyte, Airflow,
  • Dagster)
  • * Experience writing code in another language (e.g., Go, Java, Scala,
  • JavaScript/TypeScript)
  • * Proof of delivery — you've owned a project end-to-end from ambiguity to
  • delivered, scalable outcome
  • * Strong communicator — demonstrated aptitude for strategic partnerships and
  • communication with both technical and non-technical stakeholders
  • * Engineering fundamentals — Computer Science, Engineering, Physics, or similar
  • background
  • * Exceptional problem-solving and critical-thinking skills, with the ability to
  • architect robust technical solutions for ambiguous and dynamic platform
  • requirements
  • * Energized by business impact and a self-starter mindset: you'd rather build
  • an imperfect solution quickly that is used by many people than a perfect
  • solution that collects dust
  • PREFERRED QUALIFICATIONS
  • * Exposure to enterprise data/ontology platforms (e.g., Palantir Foundry,
  • Redshift, Looker, Tableau)
  • * Experience setting up and managing infrastructure to support analytical
  • workloads on-premises or in resource-constrained environments
  • * Experience working with specialized data formats (e.g., MCAP, HDF5) common in
  • domains like robotics, aerospace, and flight test
  • * Experience with the Nix (dependency management & system configuration)
  • ecosystem
  • * Prior hardware, defense, aerospace, or intelligence domain experience
  • * Extensive experience with Infrastructure-as-Code (IaC), particularly
  • Terraform, for managing complex cloud environments (e.g., AWS, Azure, GCP)
  • US Salary Range
  • $113,000—$149,000 USD
  • The salary range for this role is an estimate based on a wide range of
  • compensation factors, inclusive of base salary only. Actual salary offer may
  • vary based on (but not limited to) work experience, education and/or training,
  • critical skills, and/or business considerations. Highly competitive equity
  • grants are included in the majority of full time offers; and are considered part
  • of Anduril's total compensation package. Additionally, Anduril offers top-tier
  • benefits for full-time employees, including:
  • BENEFITS
  • At Anduril, we invest in our people. Our comprehensive, competitive benefits
  • package (available at little to no cost to employees) ensures you’re supported
  • in health, recovery, and whatever comes next. For more information, Explore Our

Benefits

[https://www.anduril.com/careers].

PROTECTING YOURSELF FROM RECRUITMENT SCAMS

Anduril is committed to maintaining the integrity of our Talent acquisition

process and the security of our candidates. We've observed a rise in

sophisticated phishing and fraudulent schemes where individuals impersonate

Anduril representatives, luring job seekers with false interviews or job offers.

These scammers often attempt to extract payment or sensitive personal

information.

To ensure your safety and help you navigate your job search with confidence,

please keep the following critical points in mind:

* No Financial Requests: Anduril will never solicit payment or demand personal

financial details (such as banking information, credit card numbers, or

social security numbers) at any stage of our hiring process. Our legitimate

recruitment is entirely free for candidates.

* Please always verify communications:

* Direct from Anduril: If you receive an email from one of our recruiters, it

will only come from an @anduril.com address.

* Via Agency Partner: If contacted by a recruiting agency for an Anduril

role, their email will clearly identify their agency. If you suspect any

suspicious activity, please verify the agency's authenticity by reaching

out to [email protected] [[email protected]].

* Exercise Caution with Unsolicited Outreach: If you receive any communication

that appears suspicious, contains grammatical errors, or makes unusual

requests, do not engage. Always confirm the sender's email domain is

@anduril.com before providing any personal information or clicking on links.

* What to Do If You Suspect Fraud: Should you encounter any questionable or

fraudulent outreach claiming to be from Anduril, please report it immediately

to [email protected] [[email protected]]. Your proactive caution is

invaluable in protecting your personal information and upholding the security

and trustworthiness of our recruitment efforts.

DATA PRIVACY

To view Anduril's candidate data privacy policy, please visit

https://anduril.com/applicant-privacy-notice/

[https://anduril.com/applicant-privacy-notice/].

By submitting your application, you consent to Anduril Industries using a

third-party service provider to conduct pre-employment risk, integrity, and due

diligence screening and assessing potential risks as part of your application

process. This third-party service provider provides risk-intelligence services

that may include analysis of sanctions and watchlists, adverse media,

public-record information, and other lawful open-source or commercial data

sources. This third-party service provider does not act as a consumer reporting

agency. Use of this provider helps to ensure compliance with applicable laws and

protect technology, intellectual property, and organizational security.

Which skills does this role require?

PythonSQLReactTypescriptDbtData engineeringSystem architectureSensor fusionComputer visionNetworking technologyOperational softwareData infrastructureData EngineeringAir DominanceLattice OSAIComputer VisionSensor FusionNetworkingFleet ManagementManufacturingSecurity ClearanceDefense TechnologyAutonomyData InfrastructureOperational AppsOntologiesBusiness OperationsSystems EngineeringCollaborative Combat AircraftMission AutonomyJavaScriptTypeScriptJavaDockerKubernetesKafkaAirflowSparkdbtMachine Learning

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